A Novel ECG Data Compression Based On Reversible Round-Off 1-D NRDPWT

Abstract

In this paper, a novel ECG data compression method based on the reversible round-off non-recursive 1-D discrete periodized wavelet transform (1-D NRDPWT) is proposed. The reversible round-off 1-D NRDPWT can perform overall stages decomposition with minimum register word length and resist quantization error propagation. A non-linear word length reduction algorithm is developed to have high compression ratio (CR). This algorithm supplies high and low octaves coefficients with small and large decimal quantization scales, respectively. Using the MIT-BIH arrhythmia database, the experimental results show that this novel approach obtains much better compression performance than the SPIHT scheme, especially in high CR situation